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Record W2874067771 · doi:10.3406/equiv.2017.1516

Le Québec à la conquête de Shakespeare : traduction, théâtre et société

2017· article· en· W2874067771 on OpenAlexaboutno aff
Annie Brisset

Bibliographic record

VenueÉquivalences · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsVernacularNarrativeHistoryOpposition (politics)LiteraturePeriod (music)Context (archaeology)HumanitiesArtAestheticsPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Shakespeare was a latecomer on the Quebec stage. Relatively ignored until after the Second World War, his plays began to be translated in the late 1960s. However, it wasn’t until the turn of the 21st century that Shakespeare finally began to be translated and performed regularly. The 1988-1989 season, commonly known as the “ Shakespeare spring” coincided with the period in which Quebec theatre evolved and became a socially autonomous field. Measuring themselves against Shakespeare and his rich narrative and stylistic devices, authors and translators contributed to reviving a literary language on stage, long discarded in favour of vernacular language. In addition to the social context and the theatrical field, examples taken from the main translators of Shakespeare (J. L. Roux, A. Maillet, M. Garneau and N. Chaurette) serve to shed light on the factors that influence the selection and the processing of the very same plays, such as the translator’s personal itinerary, or even the audience and the place of the performance. The opposition between translation and adaptation is revisited in the light of recent works on the definitions and practices of translation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.323
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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